AI Trainer, SOQL Developer

$31,200 - $124,800/Yr

Unclassified - Honolulu, HI

posted 24 days ago

Full-time - Entry Level
Remote - Honolulu, HI

About the position

The SOQL Developer position at Alignerr involves generating and evaluating high-quality data to enhance AI models. The role focuses on creating accurate SOQL queries, assessing their quality, and ensuring data integrity within the Salesforce ecosystem. This position is crucial for improving AI systems by providing high-quality data for model training and annotation processes.

Responsibilities

  • Generate SOQL queries based on given prompts, ensuring accuracy, efficiency, and alignment with data annotation standards.
  • Assess the quality of AI-generated SOQL queries and provide clear, human-readable evaluations.
  • Ensure the integrity and quality of data retrieved through SOQL queries, identifying and rectifying any inconsistencies or errors.
  • Solve data retrieval and manipulation challenges by writing optimized SOQL queries.
  • Create comprehensive summaries of data problems and their solutions within the Salesforce ecosystem.
  • Collaborate with AI and machine learning teams to enhance data annotation processes and contribute to model training efforts.

Requirements

  • Fluency in English with the ability to articulate code and abstract concepts clearly.
  • Proficiency with SOQL and familiarity with Salesforce Apex programming.
  • Bachelor's degree in Computer Science, Information Systems, or equivalent. Students are welcome to apply.
  • Strong attention to detail and a commitment to producing high-quality data.
  • Experience working with Salesforce data models, object relationships, and data annotation practices.
  • Interest in AI and machine learning concepts, particularly in relation to data annotation and model training.
  • Ability to critically evaluate data for accuracy, relevance, and completeness.

Benefits

  • Remote-friendly hybrid model with a focus on collaboration and connection.
  • Asynchronous communication and autonomy in task management.
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